Virulence of <i>Puccinia coronata</i> var <i>avenae</i> f. sp. <i>avenae</i> (oat crown rust) in Canada during 2010 to 2015
Bibliographic record
Abstract
Crown rust, caused by Puccinia coronata var. avenae f. sp. avenae (Urban & Marková) (Pca), is an economically significant problem in oat in Canada. The growing of crown rust resistant oat cultivars has been an important management practice. The development of oat cultivars with effective resistance requires knowledge of the virulence genes present in the pathogen population. This study’s objective was to determine the presence and frequency of virulence to 24 oat lines with single Pc genes in isolates of Pca collected in Canada during 2010 to 2015. A total of 692 distinct races were identified, of which 603 were from the eastern Prairie region (EPR) and 89 from eastern Canada. None of the 24 Pc resistance genes studied was effective against all of the Pca isolates from the EPR. The frequency of virulence increased on 15 of the Pc differential lines in the EPR between 2010 and 2015, with the most dramatic increase from 0% to 67% being to Pc91. The most effective resistance genes were Pc94, Pc50, Pc96, Pc97, Pc98 and Pc101. Virulence to Pc58, Pc94, Pc98 and Pc101 was not observed in Pca isolates from eastern Canada. The race structure of the Pca population in Canada was highly variable, with more than 80% of the races identified each year represented by one Pca isolate. The race structure of the Pca populations in eastern Canada and the EPR were distinct, as 80% of the races identified from Pca isolates collected in eastern Canada were not detected in the EPR. The results of this study indicate that the Pca populations in the EPR and eastern Canada continue to evolve in their virulence dynamics, creating a challenge to breed oat lines with effective and stable resistance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".